Parsias offers a platform that automates the mapping of algorithms to over 2,000 global AI regulations, creating a dynamic Algorithm Asset Register for businesses. This solution provides real-time visibility into AI risks and accountability by linking algorithms to users, products, and cost centers, ensuring compliance with evolving regulatory requirements.
Funding
Funding not disclosed
Founders
Product
Problem
Many businesses struggle to maintain transparency and accountability across their AI deployments, especially in distributed environments where algorithms are constantly evolving. Existing AI policies often fall short of directing technology initiatives, leaving companies unprepared for delivering value to customers or in products while adhering to rapidly emerging global AI regulations.
Solution
Parsias offers the Aigis platform, which automates the mapping of algorithms to over 2,000 global AI regulations, providing real-time visibility into AI risks and ensuring compliance. The platform scans a company's technology estate and dynamically maps regulations to specific use cases, creating a comprehensive Algorithm Register. This register, accessible via an executive dashboard or integrated into existing systems, allows leaders to effectively manage algorithms, regulations, and AI innovation. By linking algorithms to users, products, and cost centers, Aigis delivers accountability for AI risks and facilitates proactive adjustments to stay ahead of evolving regulatory requirements.
Target Audience
Parsias targets businesses across various industries that are deploying AI and need to maintain compliance with global AI regulations, particularly those operating in distributed technology environments.
Features
- Automated mapping of algorithms to over 2,000 global AI regulations and policies.
- Dynamic Algorithm Register providing a centralized view of all algorithms within the organization.
- Real-time risk assessment and compliance monitoring for AI deployments.
- Executive dashboard for transparency and management of algorithms and regulations.
- Integration capabilities with existing systems for seamless data flow.
- Identification of algorithmic processing across a distributed technology estate.
- Mapping of algorithms to responsible users, products, and cost centers for clear ownership.